Facial Emotion Recognition

• Python
• Convolutional Neural Network (CNN)
• Google Colab

This program is recognizing the emotion from a picture and then generate an emoji. It is simple facial emotion recognition with deep learning techniques for beginner level. It is implemented with Python on the Google Colab platform.

Dataset

Used the ‘fer2013’ dataset to train the model. The dataset consists of 48x48 pixel grayscale images of faces. The faces have been automatically registered so that the face is more or less centred and occupies about the same amount of space in each image.

Prerequisites

keras
numpy
sklearn
opencv-python
matplotlib
pandas

Summary

The validation accuracy of the model is found at 64.9%.